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Elt Developer Jobs in California (NOW HIRING)

Summary Electrical Engineer 1 Salary Range: $30.00 - $40.00/ Hr. **This role will relocate to Henderson, NV by February, 2027** As the largest machine tool builder in the western world, we need world ...

Summary Electrical Engineer 2 Salary Range: $77,000 - $110,000/ Yr. As the largest machine tool builder in the western world, we need world-class talent in all of our departments. And we're not just ...

Data Engineer - GCP

Fremont, CA · On-site

$125K - $150K/yr

Build and optimize ETL/ELT workflows using Apache Airflow * Develop data transformation models and ... Participate in code reviews and engineering best practices Required Skills * Must have 2-4 years of ...

Senior Data Engineer

Irvine, CA · On-site

$113K - $154K/yr

As a Sr. Data Engineer, you will help us refactor and move the existing ETL/ELT and analytics pipelines into the new environment, migrate the underlying data, and validate that everything lands ...

Lead Data Engineer

Irvine, CA · On-site

$110K - $144K/yr

Develop and optimize ELT/ETL processes for large-scale data ingestion and transformation. * Implement robust data quality, monitoring, and reconciliation frameworks. * Build reusable data engineering ...

Teradata Developer Work Location : Cupertino, CA Term : Full Time Permanent Opportunity Job Title ... ELT design and development and should have excellent data analysis skills In-depth hands on ...

AWS DevOps Lead/Architect

Alameda, CA · On-site

$76.75 - $101.25/hr

Solid understanding of data engineering principles, ETL/ELT pipelines, and data modeling * Experience with CI/CD tools such as GitHub Actions, Jenkins, or equivalent * Strong knowledge of SQL and ...

Data Engineer

San Francisco, CA · On-site

$79K - $87K/yr

Senior Data Engineer (Cloud Data Platforms) Role Overview We are seeking a skilled and driven Data ... In this role, you will focus on developing and supporting scalable data products and robust ETL/ELT ...

Key Skills: · Azure · Azure Data Factory (ADF) · SQL & Stored Procedures · ETL/ELT Development · Data Warehousing (Bronze/Silver/Gold Architecture) · Python (data engineering / pipeline ...

Senior Data Engineer

Berkeley, CA · On-site

$90K - $100K/yr

Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data. * Collaborate with software, controls, and test engineering teams to deliver high-quality ...

Senior Data Engineer

Berkeley, CA · On-site

$129K - $175K/yr

Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data. * Collaborate with software, controls, and test engineering teams to deliver high-quality ...

Showing results 41-60

Elt Developer information

What is an ELT developer?

ELT Developers are professionals who specialize in designing, building, and maintaining data pipelines using the Extract, Load, Transform (ELT) process. They extract data from various sources, load it into a data warehouse or data lake, and then transform it within the storage system to support analytics and business intelligence. ELT Developers work with tools and platforms such as SQL, cloud data warehouses (like Snowflake or BigQuery), and ETL/ELT frameworks to ensure data is accurate, accessible, and well-structured for analysis.

How do ELT developers typically collaborate with data analysts and engineers on projects?

ELT Developers often work closely with data analysts to understand data requirements and ensure the transformed data meets analytical needs. They also partner with data engineers to design and optimize pipelines for efficient data extraction, loading, and transformation. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration. Clear communication and teamwork are essential, as ELT Developers serve as a bridge between raw data sources and actionable business insights.

What are the key skills and qualifications needed to thrive as an ELT developer, and why are they important?

To thrive as an ELT Developer, you need strong proficiency in database management, data warehousing concepts, and programming languages such as SQL and Python, often supported by a degree in computer science or a related field. Familiarity with ETL/ELT tools like Informatica, Talend, Apache NiFi, or cloud-based platforms such as AWS Glue and Azure Data Factory is typically required. Analytical thinking, problem-solving skills, and effective communication help you understand complex data requirements and collaborate with cross-functional teams. These skills and qualities are critical to ensure efficient, accurate data integration and transformation processes that support business intelligence and decision-making.

What is the difference between Elt Developer vs Data Engineer?

AspectElt DeveloperData Engineer
Required CredentialsBachelor's in CS or related field, knowledge of XML, XSLT, scriptingBachelor's in CS, experience with databases, programming, ETL tools
Work EnvironmentContent management, language localization, data transformation projectsData pipeline development, large-scale data processing, infrastructure setup
Employer & Industry UsageTech companies, localization firms, e-learning providersFinance, healthcare, tech firms managing big data

While both roles involve working with data, Elt Developers focus on language data transformation and localization tasks, whereas Data Engineers build and maintain data pipelines for large-scale data processing. The roles share some technical skills but differ in scope and industry focus.

What cities in California are hiring for Elt Developer jobs?

Cities in California with the most Elt Developer job openings:

Lead Data Engineer : 26-02168

San Francisco, CA • On-site

Akraya Inc.
Recruiting and Staffing Services • 11 - 50 employees

$65 - $68/hr

Temporary

Re-posted 14 days ago


Job description


Primary Skills: GCP Data Engineering (Expert), BigQuery, Dataproc & dbt (Expert), ETL/ELT Pipeline Development (Expert), Data Modeling & SQL (Advanced), Supply Chain Data Engineering (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: San Francisco, CA
Pay Range: $65 - $68 on W2
Job Summary:
We are seeking an experienced Lead Data Engineer - Data & AI, Supply Chain to join a high-performing Data & AI organization focused on building modern, cloud-native data platforms that power enterprise analytics and AI initiatives. The ideal candidate will have deep expertise in Google Cloud Platform (GCP), enterprise data engineering, and scalable ETL/ELT solutions, along with experience supporting Supply Chain, Transportation, Sourcing, and Warehouse Management (WMS) domains. This is a hands-on technical leadership role responsible for designing enterprise data products, mentoring engineering teams, and delivering high-quality cloud-based analytics solutions.
Key Responsibilities:
  • Design, develop, and implement scalable enterprise data pipelines and data products on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt.
  • Develop scalable ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
  • Design robust data models supporting enterprise reporting, analytics, and AI-driven decision-making.
  • Collaborate with Product Managers, Business Analysts, Solution Architects, Data Architects, and business stakeholders to translate business requirements into technical solutions.
  • Lead technical design discussions, architecture reviews, and code reviews while promoting engineering best practices.
  • Optimize cloud data platforms for performance, scalability, reliability, and cost efficiency.
  • Implement monitoring, testing, CI/CD, and operational best practices for production data pipelines.
  • Develop reusable frameworks, engineering standards, and technical documentation to improve team productivity.
  • Troubleshoot production issues, support continuous improvement initiatives, and mentor junior engineers.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, estimation, and technical planning.
Must-have Skills:
  • 8+ years of Data Engineering experience with demonstrated technical leadership on enterprise-scale projects.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expert-level experience with BigQuery, Dataproc, SQL, and dbt.
  • Strong knowledge of modern ETL/ELT architecture and large-scale cloud data processing.
  • Expertise in data modeling, including dimensional modeling, normalized models, and analytical data warehouse design.
  • Experience building scalable, maintainable cloud-native data pipelines.
  • Strong experience with Git, CI/CD pipelines, and software engineering best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills with cross-functional technical and business teams.
Nice-to-have Skills:
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating enterprise data platforms using Apache Kafka or other streaming technologies.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for automation, utilities, and data engineering.
  • Experience implementing data quality frameworks, metadata management, and data governance best practices.
  • Experience supporting AI/ML data platforms and enterprise analytics initiatives.
Preferred Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • Experience within Retail, Apparel, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center Operations.
  • Proven experience leading technical teams and mentoring engineers in Agile environments.
  • Strong understanding of enterprise data architecture, cloud-native engineering, and modern analytics platforms.
  • Passion for building scalable, reusable, and high-performance data solutions that enable enterprise analytics and AI capabilities.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001